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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
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Unveiling Novel Traits Associated with Ulcerative Colitis via Phenome-Wide Associations Enhanced by Polygenic Risk

Yiming Wu1,2, Ling Liu3, Meltem Ece Kars4

  • 1College of Life Science, China West Normal University, Nanchong 637009, China.

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|December 30, 2025
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Summary

Genetic analysis reveals new ulcerative colitis (UC) risk factors and highlights a strong genetic link between UC and type 1 diabetes (T1D), improving understanding of these autoimmune conditions.

Keywords:
PRS-PheWASassociation analysisrisk predictionulcerative colitis

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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Area of Science:

  • Genetics
  • Immunology
  • Gastroenterology

Background:

  • Ulcerative colitis (UC) is a significant inflammatory bowel disease with poorly understood pathogenesis and a tendency to co-occur with other autoimmune diseases.
  • Large-scale genetic analyses using biobank data can offer insights into the genetic underpinnings of UC and its associated conditions.

Purpose of the Study:

  • To identify novel genetic loci associated with ulcerative colitis (UC).
  • To explore the genetic basis of UC comorbidities, particularly other autoimmune diseases.
  • To evaluate the utility of polygenic risk scores (PRSs) for UC risk prediction and comorbidity identification.

Main Methods:

  • Genome-wide association studies (GWASs) were conducted on European ancestry cohorts from the UK Biobank and Mount Sinai BioMe Biobank.
  • High-impact rare variants were analyzed using collapsing methods.
  • Genome-wide significant variants were used in phenome-wide association studies (PheWAS) and to construct polygenic risk scores (PRSs) for UC.
  • Genetic correlation analyses were performed to assess shared genetic influences between UC and associated traits.

Main Results:

  • Four genome-wide significant loci for UC were identified, including two novel variants (rs2314757, rs6869382) and two previously reported loci.
  • The optimal PRS demonstrated strong predictive power for UC risk, with an odds ratio of 5.86 for the highest versus lowest quintile.
  • Both variant- and PRS-based PheWAS analyses consistently identified type 1 diabetes (T1D) as the most significant comorbidity.
  • A significant genetic correlation was observed between UC and T1D.

Conclusions:

  • This study identified novel genetic loci contributing to UC susceptibility and revealed shared genetic bases with comorbidities.
  • UC PRSs are valuable tools for risk prediction and identifying associated traits, extending beyond simple risk stratification.
  • A robust genetic link between ulcerative colitis and type 1 diabetes was confirmed, underscoring shared autoimmune pathways.